Hierarchical-Actor-Critic-HAC-PyTorch
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Train AI models to achieve goals by breaking tasks into smaller steps using a specific algorithm in PyTorch.
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Hierarchical-Actor-Critic-HAC-PyTorch has 337 stars on GitHub. It has been forked 56 times. Hierarchical-Actor-Critic-HAC-PyTorch is written mainly in Python. It has been in active development since 2019. Hierarchical-Actor-Critic-HAC-PyTorch is available under the MIT license. Its main topics are actor-critic, deep-reinforcement-learning, gym-environment, gym-environments.
What is Hierarchical-Actor-Critic-HAC-PyTorch?
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Is Hierarchical-Actor-Critic-HAC-PyTorch open source?
Hierarchical-Actor-Critic-HAC-PyTorch is an open-source project. It is released under the MIT license.
Is Hierarchical-Actor-Critic-HAC-PyTorch free?
Yes. Hierarchical-Actor-Critic-HAC-PyTorch is free and open source — you can use, modify and self-host it.
What license does Hierarchical-Actor-Critic-HAC-PyTorch use?
Hierarchical-Actor-Critic-HAC-PyTorch is available under the MIT license.
What language is Hierarchical-Actor-Critic-HAC-PyTorch written in?
Hierarchical-Actor-Critic-HAC-PyTorch is written mainly in Python.
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